CaML
Compassion in Machine Learning.
Robustly improving the values of future AIs.
The values that shape our research and development
We want models to think about compassion in all situations where it is relevant even if it is not immediately obvious.
Models should be appropriately uncertain about the answers to complex ethical questions, while acknowledging the answers are important.
Models should be open-minded and sometimes accept they're wrong.
We want models to consider entity welfare as important independently of how actions affect the environment or humans.
Models should not propagate human biases. Models should differentiate strong evidence from unjustified beliefs.
We want models to consider downstream and indirect effects their answers and actions could have on the welfare of all beings.
CaMLCompassion in Machine Learning.
Robustly improving the values of future AIs.